Food counts. Measuring food consumption and expenditures in household consumption and expenditure surveys (HCES). Introduction to the special issue

Zezza, Alberto; Carletto, Calogero; Fiedler, John L.; Gennari, Pietro; Jolliffe, Dean

doi:10.1016/j.foodpol.2017.08.007

Cited by 96 publications

(79 citation statements)

References 20 publications

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“…Understanding about food expenditure is very important to a wide range of economy and policy research, including consumption and demand behavior research, as well as living standards, poverty, and inequality [84][85][86][87]. Furthermore, food security issue has become crucial as recently it has been included as one of SDG's target to end hunger and improve food nutrition that should be consumed.…”

Section: Discussionmentioning

confidence: 99%

Spatial Analysis of Socio-Economic Driving Factors of Food Expenditure Variation between Provinces in Indonesia

2020

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Food security has become one of the global challenges; therefore, monitoring food consumption is required. As food consumption is a resultant of food availability at an affordable price, food expenditure actually is a key indicator to assess food security policy. Particularly, the link of food expenditure with socio-economic factors based on the perspective of spatial connectivity should be understood as nowadays food supply and demand between regions are increasingly connected. This study aims to define socio-economic driving factors of food expenditure that considering spatial connectivity between provinces in Indonesia. Data of household food expenditure and socio-economic factors by province including urbanization level, economic growth, gross domestic regional product (GDRP) per capita, poverty severity index, and unemployment rate were used. The preliminary test on the spatial correlation of food expenditure showed a significant result; thus, a spatial regression approach was employed. The results showed that declining food expenditure did not simply indicate increasing prosperity. Larger income disparity among the poor has become crucial to detect lower food expenditure caused by a lack of income. In addition, the increasing unemployment rate was followed by increasing food expenditure. Despite economic growth, increasing GDRP per capita and urbanization contributing to declining food expenditure, both poverty and unemployment are the main issues that threaten household's ability to afford food. Furthermore, the effect of food expenditure in the neighboring region is also significant, but it shows a contradictory relationship as food expenditure in a region is decreasing when food expenditure in its neighbors is increasing, and vice versa. Therefore, reducing disparities in economic growth, GDRP per capita, urbanization, poverty, and unemployment rate between provinces is also crucial to support more equal food expenditure as well as to achieve the second goal of SDG's (Sustainable Development Goals) in improving food security.

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Section: Discussionmentioning

confidence: 99%

Spatial Analysis of Socio-Economic Driving Factors of Food Expenditure Variation between Provinces in Indonesia

2020

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“…Food security and dietary quality can be evaluated with various household-level and individual-level indicators, using food consumption measures, subjective self-assessments, or other types of data [8][9][10][11][12][13][14][15][16][17][18]. It is clear that no single indicator can adequately capture all dimensions of food security and dietary quality [10,19,20], but collecting all the data required for calculating a variety of indicators is hardly possible in most studies.…”

Section: Introductionmentioning

confidence: 99%

Food Security and Dietary Quality in African Slums

2019

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More than half of Africa’s urban population lives in slums. Little is known about their nutritional situation, as slums are often underrepresented in standard surveys. This study analyzes issues of food security and dietary quality in East African slums using household-level and individual-level data collected in Nairobi and Kampala. The household food insecurity access scale (HFIAS) is used as a subjective measure of food security. Moreover, calorie availability and different dietary diversity scores are calculated based on 7-day food consumption recalls at the household level and 24-hour dietary recalls at the individual level. The large majority of the slum households are food insecure and suffer from low dietary quality. Rates of undernourishment are considerably higher than what country-level statistics report, suggesting that slum dwellers deserve more explicit attention in initiatives to improve nutrition. Household-level indicators are significantly correlated with individual-level indicators for women and children. This means that household-level data, which are easier to collect, can proxy for individual nutrition up to a certain extent when individual-level data are unavailable. Regression models show that household income is one of the main factors explaining dietary patterns. Hence, facilitating access to lucrative employment is an important entry point for improving nutrition in slums.

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“…At the same time, food consumption might have severe externalities for the environmental and public health systems, as it requires resources such as water, land and energy while directly affecting human health (Costarelli et al 2013;Blas et al 2018;Damari and Kissinger 2018;Marques et al 2018;Setti et al 2018). An increasing population will lead to a shift in dietary habits and will be a core component of welfare indicators in the domains of nutrition and health (Zezza et al 2017). Households' consumption will vary between age groups, as each generation behaves differently from the previous ones.…”

Section: A Brief Literature Review On Food Behaviormentioning

confidence: 99%

“…Most previous researchers have demonstrated an analysis of food consumption on the macro-level (Kissinger 2012;Liu et al 2013) or in the microeconomic environment (Slining and Popkin 2013;Moreira et al 2015;Huybrechts et al 2017). The majority of these have focused on household consumption by investigating food purchasing (Büchs and Schnepf 2013;Jones and Kammen 2014;Zezza et al 2017). Particular studies have been conducted to analyse the socioeconomic determinants and demographic factors of food spending (Capps and Love 1983;Davis et al 1983;Heien et al 1989;Fan et al 1994;Kinsey 1994;Nayga 1995;McDowell et al 1997;Manrique and Jensen 1998;Jae et al 2000;Sabates et al 2001;Ghany et al 2002;Gould 2002;Raper et al 2002;Kirkpatrick and Tarasuk 2003;Ricciuto et al 2006;Jacobson et al 2010;Barigozzi et al 2012;Kostakis 2014;Damari and Kissinger 2018;Hidaka et al 2018;Janssen 2018;Marques et al 2018).…”

Section: A Brief Literature Review On Food Behaviormentioning

confidence: 99%

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Food Consumption within Greek Households: Further Evidence from a National Representative Sample

et al. 2020

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The aim of this study is to characterize the relationship between food consumption and socio-demographic characteristics in several groups of individuals. This is achieved by capturing the quantity of food purchased in categories on a microeconomic level. The empirical analysis is approached through the estimation of (a) expanded generalized linear models, (b) quantile regression models, (c) quadratic almost ideal demand system models and (d) Deaton’s (1988) approach. The results reveal that the composition of a household has a significant impact on the quantity of food consumed. In addition, price and income elasticities are estimated, confirming that the majority of food items are inelastic with respect to price and income except for meat. These findings can be used as a basis for considering food policy implications while evaluating the potential gains from applying specific policies.

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Food counts. Measuring food consumption and expenditures in household consumption and expenditure surveys (HCES). Introduction to the special issue

Cited by 96 publications

References 20 publications

Spatial Analysis of Socio-Economic Driving Factors of Food Expenditure Variation between Provinces in Indonesia

Spatial Analysis of Socio-Economic Driving Factors of Food Expenditure Variation between Provinces in Indonesia

Food Security and Dietary Quality in African Slums

Food Consumption within Greek Households: Further Evidence from a National Representative Sample

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